MINIMUM COST REPLACEMENT UNDER MARKOVIAN DETERIORATION.

Abstract

Optimal replacement programs for equipment subject to Markovian deterioration are considered. Interest is in determining the structure of the replacement policies that minimize the long run average costs. In particular, conditions under which control limit replacement rules are optimal are determined. In addition results are obtained indicating that linear programming is an efficient method for computing optimal policies. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1965
Accession Number
AD0612479

Entities

People

  • Peter J. Kolesar

Organizations

  • Columbia University

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computer Programming
  • Computing-Related Activities
  • Convex Programming
  • Interdisciplinary Science
  • Linear Programming
  • Mathematical Programming
  • Mathematics
  • Operations Research

Readers

  • Life Cycle Cost Analysis
  • Mathematical Modeling and Probability Theory.